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#111 – Mushtaq Khan on using institutional economics to predict effective government reforms
If you’re living in the Niger Delta in Nigeria, your best bet at a high-paying career is probably ‘artisanal refining’ — or, in plain language, steal…
4 years, 6 months ago
#110 – Holden Karnofsky on building aptitudes and kicking ass
Holden Karnofsky helped create two of the most influential organisations in the effective philanthropy world. So when he outlines a different perspec…
4 years, 7 months ago
#109 – Holden Karnofsky on the most important century
Will the future of humanity be wild, or boring? It's natural to think that if we're trying to be sober and measured, and predict what will really hap…
4 years, 7 months ago
#108 – Chris Olah on working at top AI labs without an undergrad degree
Chris Olah has had a fascinating and unconventional career path.
Most people who want to pursue a research career feel they need a degree to get ta…
4 years, 7 months ago
#107 – Chris Olah on what the hell is going on inside neural networks
Big machine learning models can identify plant species better than any human, write passable essays, beat you at a game of Starcraft 2, figure out ho…
4 years, 8 months ago
#106 – Cal Newport on an industrial revolution for office work
If you wanted to start a university department from scratch, and attract as many superstar researchers as possible, what’s the most attractive perk y…
4 years, 8 months ago
#105 – Alexander Berger on improving global health and wellbeing in clear and direct ways
The effective altruist research community tries to identify the highest impact things people can do to improve the world. Unsurprisingly, given the d…
4 years, 8 months ago
#104 – Pardis Sabeti on the Sentinel system for detecting and stopping pandemics
When the first person with COVID-19 went to see a doctor in Wuhan, nobody could tell that it wasn’t a familiar disease like the flu — that we were de…
4 years, 9 months ago
#103 – Max Roser on building the world's best source of COVID-19 data at Our World in Data
History is filled with stories of great people stepping up in times of crisis. Presidents averting wars; soldiers leading troops away from certain de…
4 years, 9 months ago
#102 – Tom Moynihan on why prior generations missed some of the biggest priorities of all
It can be tough to get people to truly care about reducing existential risks today. But spare a thought for the longtermist of the 17th century: they…
4 years, 9 months ago