All Episodes

Spencer Greenberg on staying sane while trying to save the world

Jasmine Sun on what the people building AI really believe

#247 – Anton Leicht on how middle powers avoid losing everything in a post-AI world

#246 – Sneha Revanur on how a small team of activists helped pass America's landmark AI safety laws

We can guess what intergalactic war would look like. And strangely, it matters.

How AI could create the world’s biggest problems (article by Zershaaneh Qureshi)

#245 – Rohin Shah on what it's really like to run AGI safety at Google DeepMind (and where I disagree with 'doomers')

What makes for a dream job? | Benjamin Todd

#244 – Benjamin Todd on how we’re updating our career advice for the strangest time in history

Can AIs already start 'rogue deployments' inside AI companies? (Landmark new METR report)

#243 – 'Godfather of AI' Yoshua Bengio: "I now see a path" to safe superintelligent AI

'95% of AI Pilots Fail': The hidden agenda behind the viral stat that misled millions

#242 – Will MacAskill on how we survive the 'intelligence explosion,' AI character, and the case for 'viatopia'

Risks from power-seeking AI systems (article narration by Zershaaneh Qureshi)

How scary is Claude Mythos? 303 pages in 21 minutes

Village gossip, pesticide bans, and gene drives: 17 experts on the future of global health

What everyone is missing about Anthropic vs the Pentagon. And: The Meta leaks are worse than you think.

#241 – Richard Moulange on how now AI codes viable genomes from scratch and outperforms virologists at lab work — what could go wrong?

#240 – Samuel Charap on how a Ukraine ceasefire could accidentally set Europe up for a bigger war

#239 – Rose Hadshar on why automating all human labour will break our political system

#238 – Sam Winter-Levy and Nikita Lalwani on how AGI won't end mutually assured destruction (probably)

Using AI to enhance societal decision making (article by Zershaaneh Qureshi)

#237 – Robert Long on how we're not ready for AI consciousness

#236 – Max Harms on why teaching AI right from wrong could get everyone killed

#235 – Ajeya Cotra on whether it’s crazy that every AI company’s safety plan is ‘use AI to make AI safe’

What the hell happened with AGI timelines in 2025?

#179 Classic episode – Randy Nesse on why evolution left us so vulnerable to depression and anxiety

#234 – David Duvenaud on why 'aligned AI' would still kill democracy

#145 Classic episode – Christopher Brown on why slavery abolition wasn't inevitable

#233 – James Smith on how to prevent a mirror life catastrophe

#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)

Rebuilding after apocalypse: What 13 experts say about bouncing back

#220 – Ryan Greenblatt on the 4 most likely ways for AI to take over, and the case for and against AGI in <8 years

#219 – Toby Ord on graphs AI companies would prefer you didn't (fully) understand

#218 – Hugh White on why Trump is abandoning US hegemony – and that’s probably good

#217 – Beth Barnes on the most important graph in AI right now — and the 7-month rule that governs its progress

Beyond human minds: The bewildering frontier of consciousness in insects, AI, and more

Don’t believe OpenAI’s “nonprofit” spin (emergency pod with Tyler Whitmer)

The case for and against AGI by 2030 (article by Benjamin Todd)

Emergency pod: Did OpenAI give up, or is this just a new trap? (with Rose Chan Loui)

#216 – Ian Dunt on why governments in Britain and elsewhere can't get anything done – and how to fix it

Serendipity, weird bets, & cold emails that actually work: Career advice from 16 former guests

#215 – Tom Davidson on how AI-enabled coups could allow a tiny group to seize power

Guilt, imposter syndrome & doing good: 16 past guests share their mental health journeys

#214 – Buck Shlegeris on controlling AI that wants to take over – so we can use it anyway

15 expert takes on infosec in the age of AI

#213 – Will MacAskill on AI causing a “century in a decade” – and how we're completely unprepared

Emergency pod: Judge plants a legal time bomb under OpenAI (with Rose Chan Loui)

#139 Classic episode – Alan Hájek on puzzles and paradoxes in probability and expected value

#143 Classic episode – Jeffrey Lewis on the most common misconceptions about nuclear weapons

#212 – Allan Dafoe on why technology is unstoppable & how to shape AI development anyway

Emergency pod: Elon tries to crash OpenAI's party (with Rose Chan Loui)

AGI disagreements and misconceptions: Rob, Luisa, & past guests hash it out

#124 Classic episode – Karen Levy on fads and misaligned incentives in global development, and scaling deworming to reach hundreds of millions

If digital minds could suffer, how would we ever know? (Article)

#132 Classic episode – Nova DasSarma on why information security may be critical to the safe development of AI systems

#138 Classic episode – Sharon Hewitt Rawlette on why pleasure and pain are the only things that intrinsically matter

#134 Classic episode – Ian Morris on what big-picture history teaches us

#140 Classic episode – Bear Braumoeller on the case that war isn’t in decline

2024 Highlightapalooza! (The best of The 80,000 Hours Podcast this year)

#211 – Sam Bowman on why housing still isn't fixed and what would actually work

#210 – Cameron Meyer Shorb on dismantling the myth that we can’t do anything to help wild animals

#209 – Rose Chan Loui on OpenAI’s gambit to ditch its nonprofit

#208 – Elizabeth Cox on the case that TV shows, movies, and novels can improve the world

#207 – Sarah Eustis-Guthrie on why she shut down her charity, and why more founders should follow her lead

Parenting insights from Rob and 8 past guests

#206 – Anil Seth on the predictive brain and how to study consciousness

How much does a vote matter? (Article)

#205 – Sébastien Moro on the most insane things fish can do

#204 – Nate Silver on making sense of SBF, and his biggest critiques of effective altruism

#203 – Peter Godfrey-Smith on interfering with wild nature, accepting death, and the origin of complex civilisation

Luisa and Keiran on free will, and the consequences of never feeling enduring guilt or shame

#202 – Venki Ramakrishnan on the cutting edge of anti-ageing science

#201 – Ken Goldberg on why your robot butler isn’t here yet

#200 – Ezra Karger on what superforecasters and experts think about existential risks

#199 – Nathan Calvin on California’s AI bill SB 1047 and its potential to shape US AI policy

#198 – Meghan Barrett on upending everything you thought you knew about bugs in 3 hours

#197 – Nick Joseph on whether Anthropic's AI safety policy is up to the task

#196 – Jonathan Birch on the edge cases of sentience and why they matter

#195 – Sella Nevo on who's trying to steal frontier AI models, and what they could do with them

#194 – Vitalik Buterin on defensive acceleration and how to regulate AI when you fear government

#193 – Sihao Huang on navigating the geopolitics of US–China AI competition

#192 – Annie Jacobsen on what would happen if North Korea launched a nuclear weapon at the US

#191 (Part 2) – Carl Shulman on government and society after AGI

#191 (Part 1) – Carl Shulman on the economy and national security after AGI

#190 – Eric Schwitzgebel on whether the US is conscious

#189 – Rachel Glennerster on why we still don’t have vaccines that could save millions

#188 – Matt Clancy on whether science is good

#187 – Zach Weinersmith on how researching his book turned him from a space optimist into a "space bastard"

#186 – Dean Spears on why babies are born small in Uttar Pradesh, and how to save their lives

#185 – Lewis Bollard on the 7 most promising ways to end factory farming, and whether AI is going to be good or bad for animals

#184 – Zvi Mowshowitz on sleeping on sleeper agents, and the biggest AI updates since ChatGPT

AI governance and policy (Article)

#183 – Spencer Greenberg on causation without correlation, money and happiness, lightgassing, hype vs value, and more

#182 – Bob Fischer on comparing the welfare of humans, chickens, pigs, octopuses, bees, and more

#181 – Laura Deming on the science that could keep us healthy in our 80s and beyond

#180 – Hugo Mercier on why gullibility and misinformation are overrated

#179 – Randy Nesse on why evolution left us so vulnerable to depression and anxiety

#178 – Emily Oster on what the evidence actually says about pregnancy and parenting

#177 – Nathan Labenz on recent AI breakthroughs and navigating the growing rift between AI safety and accelerationist camps

#90 Classic episode – Ajeya Cotra on worldview diversification and how big the future could be

#112 Classic episode – Carl Shulman on the common-sense case for existential risk work and its practical implications

#111 Classic episode – Mushtaq Khan on using institutional economics to predict effective government reforms

2023 Mega-highlights Extravaganza

#100 Classic episode – Having a successful career with depression, anxiety, and imposter syndrome

#176 – Nathan Labenz on the final push for AGI, understanding OpenAI's leadership drama, and red-teaming frontier models

#175 – Lucia Coulter on preventing lead poisoning for $1.66 per child

#174 – Nita Farahany on the neurotechnology already being used to convict criminals and manipulate workers

#173 – Jeff Sebo on digital minds, and how to avoid sleepwalking into a major moral catastrophe

#172 – Bryan Caplan on why you should stop reading the news

#171 – Alison Young on how top labs have jeopardised public health with repeated biosafety failures

#170 – Santosh Harish on how air pollution is responsible for ~12% of global deaths — and how to get that number down

#169 – Paul Niehaus on whether cash transfers cause economic growth, and keeping theft to acceptable levels

#168 – Ian Morris on whether deep history says we're heading for an intelligence explosion

#167 – Seren Kell on the research gaps holding back alternative proteins from mass adoption

#166 – Tantum Collins on what he’s learned as an AI policy insider at the White House, DeepMind and elsewhere

#165 – Anders Sandberg on war in space, whether civilisations age, and the best things possible in our universe

#164 – Kevin Esvelt on cults that want to kill everyone, stealth vs wildfire pandemics, and how he felt inventing gene drives

Great power conflict (Article)

#163 – Toby Ord on the perils of maximising the good that you do

The 80,000 Hours Career Guide (2023)

#162 – Mustafa Suleyman on getting Washington and Silicon Valley to tame AI

#161 – Michael Webb on whether AI will soon cause job loss, lower incomes, and higher inequality — or the opposite

#160 – Hannah Ritchie on why it makes sense to be optimistic about the environment

#159 – Jan Leike on OpenAI's massive push to make superintelligence safe in 4 years or less

We now offer shorter 'interview highlights' episodes

#158 – Holden Karnofsky on how AIs might take over even if they're no smarter than humans, and his 4-part playbook for AI risk

#157 – Ezra Klein on existential risk from AI and what DC could do about it

#156 – Markus Anderljung on how to regulate cutting-edge AI models

Bonus: The Worst Ideas in the History of the World

#155 – Lennart Heim on the compute governance era and what has to come after

#154 - Rohin Shah on DeepMind and trying to fairly hear out both AI doomers and doubters

#153 – Elie Hassenfeld on 2 big picture critiques of GiveWell's approach, and 6 lessons from their recent work

#152 – Joe Carlsmith on navigating serious philosophical confusion

#151 – Ajeya Cotra on accidentally teaching AI models to deceive us

#150 – Tom Davidson on how quickly AI could transform the world

Andrés Jiménez Zorrilla on the Shrimp Welfare Project (80k After Hours)

#149 – Tim LeBon on how altruistic perfectionism is self-defeating

#148 – Johannes Ackva on unfashionable climate interventions that work, and fashionable ones that don't

#147 – Spencer Greenberg on stopping valueless papers from getting into top journals

#146 – Robert Long on why large language models like GPT (probably) aren't conscious

#145 – Christopher Brown on why slavery abolition wasn't inevitable

#144 – Athena Aktipis on why cancer is actually one of our universe's most fundamental phenomena

#79 Classic episode - A.J. Jacobs on radical honesty, following the whole Bible, and reframing global problems as puzzles

#81 Classic episode - Ben Garfinkel on scrutinising classic AI risk arguments

#83 Classic episode - Jennifer Doleac on preventing crime without police and prisons

#143 – Jeffrey Lewis on the most common misconceptions about nuclear weapons

#142 – John McWhorter on key lessons from linguistics, the virtue of creoles, and language extinction

#141 – Richard Ngo on large language models, OpenAI, and striving to make the future go well

My experience with imposter syndrome — and how to (partly) overcome it (Article)

Rob's thoughts on the FTX bankruptcy

#140 – Bear Braumoeller on the case that war isn't in decline

#139 – Alan Hájek on puzzles and paradoxes in probability and expected value

Preventing an AI-related catastrophe (Article)

#138 – Sharon Hewitt Rawlette on why pleasure and pain are the only things that intrinsically matter

#137 – Andreas Mogensen on whether effective altruism is just for consequentialists

#136 – Will MacAskill on what we owe the future

#135 – Samuel Charap on key lessons from five months of war in Ukraine

#134 – Ian Morris on what big-picture history teaches us

#133 – Max Tegmark on how a 'put-up-or-shut-up' resolution led him to work on AI and algorithmic news selection

#132 – Nova DasSarma on why information security may be critical to the safe development of AI systems

#131 – Lewis Dartnell on getting humanity to bounce back faster in a post-apocalyptic world

#130 – Will MacAskill on balancing frugality with ambition, whether you need longtermism, & mental health under pressure

#129 – James Tibenderana on the state of the art in malaria control and elimination

#128 – Chris Blattman on the five reasons wars happen

#127 – Sam Bankman-Fried on taking a high-risk approach to crypto and doing good

#126 – Bryan Caplan on whether lazy parenting is OK, what really helps workers, and betting on beliefs

#125 – Joan Rohlfing on how to avoid catastrophic nuclear blunders

#124 – Karen Levy on fads and misaligned incentives in global development, and scaling deworming to reach hundreds of millions

#123 – Samuel Charap on why Putin invaded Ukraine, the risk of escalation, and how to prevent disaster

#122 – Michelle Hutchinson & Habiba Islam on balancing competing priorities and other themes from our 1-on-1 careers advising

Introducing 80k After Hours

#121 – Matthew Yglesias on avoiding the pundit's fallacy and how much military intervention can be used for good

#120 – Audrey Tang on what we can learn from Taiwan’s experiments with how to do democracy

#43 Classic episode - Daniel Ellsberg on the institutional insanity that maintains nuclear doomsday machines

#35 Classic episode - Tara Mac Aulay on the audacity to fix the world without asking permission

#67 Classic episode – David Chalmers on the nature and ethics of consciousness

#59 Classic episode - Cass Sunstein on how change happens, and why it's so often abrupt & unpredictable

#119 – Andrew Yang on our very long-term future, and other topics most politicians won’t touch

#118 – Jaime Yassif on safeguarding bioscience to prevent catastrophic lab accidents and bioweapons development

#117 – David Denkenberger on using paper mills and seaweed to feed everyone in a catastrophe, ft Sahil Shah

#116 – Luisa Rodriguez on why global catastrophes seem unlikely to kill us all

#115 – David Wallace on the many-worlds theory of quantum mechanics and its implications

#114 – Maha Rehman on working with governments to rapidly deliver masks to millions of people

We just put up a new compilation of ten core episodes of the show

#113 – Varsha Venugopal on using gossip to help vaccinate every child in India

#112 – Carl Shulman on the common-sense case for existential risk work and its practical implications

#111 – Mushtaq Khan on using institutional economics to predict effective government reforms

#110 – Holden Karnofsky on building aptitudes and kicking ass

#109 – Holden Karnofsky on the most important century

#108 – Chris Olah on working at top AI labs without an undergrad degree

#107 – Chris Olah on what the hell is going on inside neural networks

#106 – Cal Newport on an industrial revolution for office work

#105 – Alexander Berger on improving global health and wellbeing in clear and direct ways

#104 – Pardis Sabeti on the Sentinel system for detecting and stopping pandemics

#103 – Max Roser on building the world's best source of COVID-19 data at Our World in Data

#102 – Tom Moynihan on why prior generations missed some of the biggest priorities of all

#101 – Robert Wright on using cognitive empathy to save the world

#100 – Having a successful career with depression, anxiety and imposter syndrome

#99 – Leah Garcés on turning adversaries into allies to change the chicken industry

#98 – Christian Tarsney on future bias and a possible solution to moral fanaticism

#97 – Mike Berkowitz on keeping the US a liberal democratic country

The ten episodes of this show you should listen to first

#96 – Nina Schick on disinformation and the rise of synthetic media

#95 – Kelly Wanser on whether to deliberately intervene in the climate

#94 – Ezra Klein on aligning journalism, politics, and what matters most

#93 – Andy Weber on rendering bioweapons obsolete & ending the new nuclear arms race

#92 – Brian Christian on the alignment problem

#91 – Lewis Bollard on big wins against factory farming and how they happened

Rob Wiblin on how he ended up the way he is

#90 – Ajeya Cotra on worldview diversification and how big the future could be

Rob Wiblin on self-improvement and research ethics

#73 - Phil Trammell on patient philanthropy and waiting to do good [re-release]

#75 – Michelle Hutchinson on what people most often ask 80,000 Hours [re-release]

#89 – Owen Cotton-Barratt on epistemic systems and layers of defense against potential global catastrophes

#88 – Tristan Harris on the need to change the incentives of social media companies

Benjamin Todd on what the effective altruism community most needs (80k team chat #4)

#87 – Russ Roberts on whether it's more effective to help strangers, or people you know

How much does a vote matter? (Article)

#86 – Hilary Greaves on Pascal's mugging, strong longtermism, and whether existing can be good for us

Benjamin Todd on the core of effective altruism and how to argue for it (80k team chat #3)

Ideas for high impact careers beyond our priority paths (Article)

Benjamin Todd on varieties of longtermism and things 80,000 Hours might be getting wrong (80k team chat #2)

Global issues beyond 80,000 Hours’ current priorities (Article)

#85 - Mark Lynas on climate change, societal collapse & nuclear energy

#84 – Shruti Rajagopalan on what India did to stop COVID-19 and how well it worked

#83 - Jennifer Doleac on preventing crime without police and prisons

#82 – James Forman Jr on reducing the cruelty of the US criminal legal system

#81 - Ben Garfinkel on scrutinising classic AI risk arguments

Advice on how to read our advice (Article)

#80 – Stuart Russell on why our approach to AI is broken and how to fix it

What anonymous contributors think about important life and career questions (Article)

#79 – A.J. Jacobs on radical honesty, following the whole Bible, and reframing global problems as puzzles

#78 – Danny Hernandez on forecasting and the drivers of AI progress

#77 – Marc Lipsitch on whether we're winning or losing against COVID-19

Article: Ways people trying to do good accidentally make things worse, and how to avoid them

#76 – Tara Kirk Sell on misinformation, who's done well and badly, & what to reopen first

#75 – Michelle Hutchinson on what people most often ask 80,000 Hours

#74 – Dr Greg Lewis on COVID-19 & catastrophic biological risks

Article: Reducing global catastrophic biological risks

Emergency episode: Rob & Howie on the menace of COVID-19, and what both governments & individuals might do to help

#73 – Phil Trammell on patient philanthropy and waiting to do good

#72 - Toby Ord on the precipice and humanity's potential futures

#71 - Benjamin Todd on the key ideas of 80,000 Hours

Arden & Rob on demandingness, work-life balance & injustice (80k team chat #1)

#70 - Dr Cassidy Nelson on the 12 best ways to stop the next pandemic (and limit nCoV)

#69 – Jeffrey Ding on China, its AI dream, and what we get wrong about both

Rob & Howie on what we do and don't know about 2019-nCoV

#68 - Will MacAskill on the paralysis argument, whether we're at the hinge of history, & his new priorities

#44 Classic episode - Paul Christiano on finding real solutions to the AI alignment problem

#33 Classic episode - Anders Sandberg on cryonics, solar flares, and the annual odds of nuclear war

#17 Classic episode - Will MacAskill on moral uncertainty, utilitarianism & how to avoid being a moral monster

#67 – David Chalmers on the nature and ethics of consciousness

#66 – Peter Singer on being provocative, effective altruism, & how his moral views have changed

#65 – Ambassador Bonnie Jenkins on 8 years pursuing WMD arms control, & diversity in diplomacy

#64 – Bruce Schneier on how insecure electronic voting could break the United States — and surveillance without tyranny

Rob Wiblin on plastic straws, nicotine, doping, & whether changing the long-term is really possible

Have we helped you have a bigger social impact? Our annual survey, plus other ways we can help you.

#63 – Vitalik Buterin on better ways to fund public goods, blockchain's failures, & effective giving

#62 – Paul Christiano on messaging the future, increasing compute, & how CO2 impacts your brain

#61 - Helen Toner on emerging technology, national security, and China

#60 - Phil Tetlock on why accurate forecasting matters for everything, and how you can do it better

#59 – Cass Sunstein on how change happens, and why it's so often abrupt & unpredictable

#58 – Pushmeet Kohli of DeepMind on designing robust & reliable AI systems and how to succeed in AI

Rob Wiblin on human nature, new technology, and living a happy, healthy & ethical life

#57 – Tom Kalil on how to do the most good in government

#56 - Persis Eskander on wild animal welfare and what, if anything, to do about it

#55 – Lutter & Winter on founding charter cities with outstanding governance to end poverty

#54 – OpenAI on publication norms, malicious uses of AI, and general-purpose learning algorithms

#53 - Kelsey Piper on the room for important advocacy within journalism

Julia Galef and Rob Wiblin on an updated view of the best ways to help humanity

#52 - Glen Weyl on uprooting capitalism and democracy for a just society

#51 - Martin Gurri on the revolt of the public & crisis of authority in the information age

#50 - David Denkenberger on how to feed all 8b people through an asteroid/nuclear winter

#49 - Rachel Glennerster on a year's worth of education for 30c & other development 'best buys'

#48 - Brian Christian on better living through the wisdom of computer science

#47 - Catherine Olsson & Daniel Ziegler on the fast path into high-impact ML engineering roles

#46 - Hilary Greaves on moral cluelessness & tackling crucial questions in academia

#45 - Tyler Cowen's case for maximising econ growth, stabilising civilization & thinking long-term

#44 - Paul Christiano on how we'll hand the future off to AI, & solving the alignment problem

#43 - Daniel Ellsberg on the institutional insanity that maintains nuclear doomsday machines

#42 - Amanda Askell on moral empathy, the value of information & the ethics of infinity

#41 - David Roodman on incarceration, geomagnetic storms, & becoming a world-class researcher

#40 - Katja Grace on forecasting future technology & how much we should trust expert predictions

#39 - Spencer Greenberg on the scientific approach to solving difficult everyday questions

#38 - Yew-Kwang Ng on anticipating effective altruism decades ago & how to make a much happier world

#37 - GiveWell picks top charities by estimating the unknowable. James Snowden on how they do it.

#36 - Tanya Singh on ending the operations management bottleneck in effective altruism

#35 - Tara Mac Aulay on the audacity to fix the world without asking permission

Rob Wiblin on the art/science of a high impact career

#34 - We use the worst voting system that exists. Here's how Aaron Hamlin is going to fix it.

#33 - Anders Sandberg on what if we ended ageing, solar flares & the annual risk of nuclear war

#32 - Bryan Caplan on whether his Case Against Education holds up, totalitarianism, & open borders

#31 - Allan Dafoe on defusing the political & economic risks posed by existing AI capabilities

#30 - Eva Vivalt on how little social science findings generalize from one study to another

#29 - Anders Sandberg on 3 new resolutions for the Fermi paradox & how to colonise the universe

#28 - Owen Cotton-Barratt on why scientists should need insurance, PhD strategy & fast AI progresses

#27 - Dr Tom Inglesby on careers and policies that reduce global catastrophic biological risks

#26 - Marie Gibbons on how exactly clean meat is made & what's needed to get it in every supermarket

#25 - Robin Hanson on why we have to lie to ourselves about why we do what we do

#24 - Stefan Schubert on why it’s a bad idea to break the rules, even if it’s for a good cause

#23 - How to actually become an AI alignment researcher, according to Dr Jan Leike

#22 - Leah Utyasheva on the non-profit that figured out how to massively cut suicide rates

#21 - Holden Karnofsky on times philanthropy transformed the world & Open Phil’s plan to do the same

#20 - Bruce Friedrich on inventing outstanding meat substitutes to end speciesism & factory farming

#19 - Samantha Pitts-Kiefer on working next to the White House trying to prevent nuclear war

#18 - Ofir Reich on using data science to end poverty & the spurious action-inaction distinction

#17 - Will MacAskill on moral uncertainty, utilitarianism & how to avoid being a moral monster

#16 - Michelle Hutchinson on global priorities research & shaping the ideas of intellectuals

#15 - Phil Tetlock on how chimps beat Berkeley undergrads and when it’s wise to defer to the wise

#14 - Sharon Nunez & Jose Valle on going undercover to expose animal abuse

#13 - Claire Walsh on testing which policies work & how to get governments to listen to the results

#12 - Beth Cameron works to stop you dying in a pandemic. Here’s what keeps her up at night.

#11 - Spencer Greenberg on speeding up social science 10-fold & why plenty of startups cause harm

#10 - Nick Beckstead on how to spend billions of dollars preventing human extinction

#9 - Christine Peterson on how insecure computers could lead to global disaster, and how to fix it

#8 - Lewis Bollard on how to end factory farming in our lifetimes

#7 - Julia Galef on making humanity more rational, what EA does wrong, and why Twitter isn’t all bad

#6 - Toby Ord on why the long-term future matters more than anything else & what to do about it

#5 - Alex Gordon-Brown on how to donate millions in your 20s working in quantitative trading

#4 - Howie Lempel on pandemics that kill hundreds of millions and how to stop them

#3 - Dario Amodei on OpenAI and how AI will change the world for good and ill

#2 - David Spiegelhalter on risk, stats and improving understanding of science

#1 - Miles Brundage on the world's desperate need for AI strategists and policy experts

#0 – Introducing the 80,000 Hours Podcast