#189 – Rachel Glennerster on how “market shaping” could help solve climate change, pandemics, and other global problems
#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
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