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Episoder
262 episoder
#168 – Ian Morris on whether deep history says we're heading for an intelligence explosion
2023-10-23 • 2h 43min
#167 – Seren Kell on the research gaps holding back alternative proteins from mass adoption
2023-10-18 • 1h 54min
#166 – Tantum Collins on what he’s learned as an AI policy insider at the White House, DeepMind and elsewhere
2023-10-12 • 3h 8min
#165 – Anders Sandberg on war in space, whether civilisations age, and the best things possible in our universe
2023-10-06 • 2h 48min
#164 – Kevin Esvelt on cults that want to kill everyone, stealth vs wildfire pandemics, and how he felt inventing gene drives
2023-10-02 • 3h 3min
Great power conflict (Article)
2023-09-22 • 1h 19min
#163 – Toby Ord on the perils of maximising the good that you do
2023-09-08 • 3h 7min
The 80,000 Hours Career Guide (2023)
2023-09-04 • 4h 41min
#162 – Mustafa Suleyman on getting Washington and Silicon Valley to tame AI
2023-09-01 • 59min
#161 – Michael Webb on whether AI will soon cause job loss, lower incomes, and higher inequality — or the opposite
2023-08-23 • 3h 30min
#160 – Hannah Ritchie on why it makes sense to be optimistic about the environment
2023-08-14 • 2h 36min
#159 – Jan Leike on OpenAI's massive push to make superintelligence safe in 4 years or less
2023-08-07 • 2h 51min
We now offer shorter 'interview highlights' episodes
2023-08-05 • 6min
#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
2023-07-31 • 3h 13min
#157 – Ezra Klein on existential risk from AI and what DC could do about it
2023-07-24 • 1h 18min
#156 – Markus Anderljung on how to regulate cutting-edge AI models
2023-07-10 • 2h 6min
Bonus: The Worst Ideas in the History of the World
2023-06-30 • 35min
#155 – Lennart Heim on the compute governance era and what has to come after
2023-06-22 • 3h 12min
#154 - Rohin Shah on DeepMind and trying to fairly hear out both AI doomers and doubters
2023-06-09 • 3h 9min
#153 – Elie Hassenfeld on 2 big picture critiques of GiveWell's approach, and 6 lessons from their recent work
2023-06-02 • 2h 56min
#152 – Joe Carlsmith on navigating serious philosophical confusion
2023-05-19 • 3h 26min
#151 – Ajeya Cotra on accidentally teaching AI models to deceive us
2023-05-12 • 2h 49min
#150 – Tom Davidson on how quickly AI could transform the world
2023-05-05 • 3h 1min
Andrés Jiménez Zorrilla on the Shrimp Welfare Project (80k After Hours)
2023-04-22 • 1h 17min
#149 – Tim LeBon on how altruistic perfectionism is self-defeating
2023-04-12 • 3h 11min
#148 – Johannes Ackva on unfashionable climate interventions that work, and fashionable ones that don't
2023-04-03 • 2h 17min
#147 – Spencer Greenberg on stopping valueless papers from getting into top journals
2023-03-24 • 2h 38min
#146 – Robert Long on why large language models like GPT (probably) aren't conscious
2023-03-14 • 3h 12min
#145 – Christopher Brown on why slavery abolition wasn't inevitable
2023-02-11 • 2h 42min
#144 – Athena Aktipis on why cancer is actually one of our universe's most fundamental phenomena
2023-01-26 • 3h 15min
#79 Classic episode - A.J. Jacobs on radical honesty, following the whole Bible, and reframing global problems as puzzles
2023-01-16 • 2h 35min
#81 Classic episode - Ben Garfinkel on scrutinising classic AI risk arguments
2023-01-09 • 2h 37min
#83 Classic episode - Jennifer Doleac on preventing crime without police and prisons
2023-01-04 • 2h 17min
#143 – Jeffrey Lewis on the most common misconceptions about nuclear weapons
2022-12-29 • 2h 40min
#142 – John McWhorter on key lessons from linguistics, the virtue of creoles, and language extinction
2022-12-20 • 1h 47min
#141 – Richard Ngo on large language models, OpenAI, and striving to make the future go well
2022-12-13 • 2h 44min
My experience with imposter syndrome — and how to (partly) overcome it (Article)
2022-12-08 • 44min
Rob's thoughts on the FTX bankruptcy
2022-11-23 • 5min
#140 – Bear Braumoeller on the case that war isn't in decline
2022-11-08 • 2h 47min
#139 – Alan Hájek on puzzles and paradoxes in probability and expected value
2022-10-28 • 3h 38min
Preventing an AI-related catastrophe (Article)
2022-10-14 • 2h 24min
#138 – Sharon Hewitt Rawlette on why pleasure and pain are the only things that intrinsically matter
2022-09-30 • 2h 24min
#137 – Andreas Mogensen on whether effective altruism is just for consequentialists
2022-09-08 • 2h 21min
#136 – Will MacAskill on what we owe the future
2022-08-15 • 2h 54min
#135 – Samuel Charap on key lessons from five months of war in Ukraine
2022-08-08 • 54min
#134 – Ian Morris on what big-picture history teaches us
2022-07-22 • 3h 41min
#133 – Max Tegmark on how a 'put-up-or-shut-up' resolution led him to work on AI and algorithmic news selection
2022-07-01 • 2h 57min
#132 – Nova DasSarma on why information security may be critical to the safe development of AI systems
2022-06-14 • 2h 42min
#131 – Lewis Dartnell on getting humanity to bounce back faster in a post-apocalyptic world
2022-06-03 • 1h 5min
#130 – Will MacAskill on balancing frugality with ambition, whether you need longtermism, & mental health under pressure
2022-05-23 • 2h 16min