80,000 Hours Podcast cover art

All Episodes

80,000 Hours Podcast — 334 episodes

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Title
1

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

2

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

3

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

4

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

5

How scary is Claude Mythos? 303 pages in 21 minutes

6

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

7

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

8

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

9

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

10

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

11

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

12

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

13

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

14

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

15

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

16

What the hell happened with AGI timelines in 2025?

17

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

18

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

19

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

20

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

21

#144 Classic episode – Athena Aktipis on why cancer is a fundamental universal phenomena

22

#142 Classic episode – John McWhorter on why the optimal number of languages might be one, and other provocative claims about language

23

2025 Highlight-o-thon: Oops! All Bests

24

#232 – Andreas Mogensen on what we owe 'philosophical Vulcans' and unconscious beings

25

#231 – Paul Scharre on how AI-controlled robots will and won't change war

26

AI might let a few people control everything — permanently (article by Rose Hadshar)

27

#230 – Dean Ball on how AI is a huge deal — but we shouldn’t regulate it yet

28

#229 – Marius Hobbhahn on the race to solve AI scheming before models go superhuman

29

Rob & Luisa chat kids, the 2016 fertility crash, and how the 50s invented parenting that makes us miserable

30

#228 – Eileen Yam on how we're completely out of touch with what the public thinks about AI

31

OpenAI: The nonprofit refuses to be killed (with Tyler Whitmer)

32

#227 – Helen Toner on the geopolitics of AGI in China and the Middle East

33

#226 – Holden Karnofsky on unexploited opportunities to make AI safer — and all his AGI takes

34

#225 – Daniel Kokotajlo on what a hyperspeed robot economy might look like

35

#224 – There's a cheap and low-tech way to save humanity from any engineered disease | Andrew Snyder-Beattie

36

Inside the Biden admin’s AI policy approach | Jake Sullivan, Biden’s NSA | via The Cognitive Revolution

37

#223 – Neel Nanda on leading a Google DeepMind team at 26 – and advice if you want to work at an AI company (part 2)

38

#222 – Can we tell if an AI is loyal by reading its mind? DeepMind's Neel Nanda (part 1)

39

#221 – Kyle Fish on the most bizarre findings from 5 AI welfare experiments

40

How not to lose your job to AI (article by Benjamin Todd)

41

Rebuilding after apocalypse: What 13 experts say about bouncing back

42

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

43

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

44

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

45

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

46

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

47

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

48

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

49

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

50

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

51

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

52

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

53

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

54

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

55

15 expert takes on infosec in the age of AI

56

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

57

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

58

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

59

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

60

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

61

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

62

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

63

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

64

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

65

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

66

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

67

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

68

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

69

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

70

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

71

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

72

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

73

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

74

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

75

Parenting insights from Rob and 8 past guests

76

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

77

How much does a vote matter? (Article)

78

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

79

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

80

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

81

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

82

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

83

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

84

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

85

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

86

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

87

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

88

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

89

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

90

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

91

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

92

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

93

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

94

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

95

#190 – Eric Schwitzgebel on whether the US is conscious

96

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

97

#188 – Matt Clancy on whether science is good

98

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

99

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

100

#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

101

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

102

AI governance and policy (Article)

103

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

104

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

105

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

106

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

107

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

108

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

109

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

110

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

111

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

112

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

113

2023 Mega-highlights Extravaganza

114

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

115

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

116

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

117

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

118

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

119

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

120

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

121

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

122

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

123

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

124

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

125

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

126

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

127

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

128

Great power conflict (Article)

129

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

130

The 80,000 Hours Career Guide (2023)

131

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

132

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

133

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

134

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

135

We now offer shorter 'interview highlights' episodes

136

#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

137

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

138

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

139

Bonus: The Worst Ideas in the History of the World

140

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

141

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

142

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

143

#152 – Joe Carlsmith on navigating serious philosophical confusion

144

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

145

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

146

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

147

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

148

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

149

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

150

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

151

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

152

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

153

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

154

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

155

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

156

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

157

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

158

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

159

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

160

Rob's thoughts on the FTX bankruptcy

161

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

162

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

163

Preventing an AI-related catastrophe (Article)

164

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

165

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

166

#136 – Will MacAskill on what we owe the future

167

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

168

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

169

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

170

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

171

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

172

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

173

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

174

#128 – Chris Blattman on the five reasons wars happen

175

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

176

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

177

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

178

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

179

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

180

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

181

Introducing 80k After Hours

182

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

183

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

184

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

185

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

186

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

187

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

188

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

189

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

190

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

191

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

192

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

193

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

194

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

195

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

196

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

197

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

198

#110 – Holden Karnofsky on building aptitudes and kicking ass

199

#109 – Holden Karnofsky on the most important century

200

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

201

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

202

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

203

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

204

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

205

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

206

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

207

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

208

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

209

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

210

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

211

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

212

The ten episodes of this show you should listen to first

213

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

214

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

215

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

216

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

217

#92 – Brian Christian on the alignment problem

218

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

219

Rob Wiblin on how he ended up the way he is

220

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

221

Rob Wiblin on self-improvement and research ethics

222

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

223

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

224

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

225

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

226

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

227

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

228

How much does a vote matter? (Article)

229

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

230

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

231

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

232

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

233

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

234

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

235

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

236

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

237

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

238

#81 - Ben Garfinkel on scrutinising classic AI risk arguments

239

Advice on how to read our advice (Article)

240

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

241

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

242

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

243

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

244

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

245

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

246

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

247

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

248

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

249

Article: Reducing global catastrophic biological risks

250

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

251

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

252

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

253

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

254

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

255

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

256

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

257

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

258

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

259

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

260

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

261

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

262

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

263

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

264

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

265

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

266

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

267

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

268

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

269

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

270

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

271

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

272

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

273

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

274

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

275

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

276

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

277

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

278

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

279

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

280

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

281

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

282

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

283

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

284

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

285

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

286

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

287

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

288

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

289

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

290

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

291

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

292

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

293

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

294

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

295

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

296

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

297

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

298

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

299

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

300

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

301

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

302

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

303

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

304

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

305

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

306

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

307

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

308

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

309

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

310

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

311

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

312

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

313

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

314

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

315

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

316

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

317

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

318

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

319

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

320

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

321

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

322

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

323

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

324

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

325

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

326

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

327

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

328

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

329

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

330

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

331

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

332

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

333

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

334

#0 – Introducing the 80,000 Hours Podcast