#53 - Kelsey Piper on the room for important advocacy within journalism
“Politics. Business. Opinion. Science. Sports. Animal welfare. Existential risk.” Is this a plausible future lineup for major news outlets? Funded by the Rockefeller Foundation and given very little ...
27 Feb 20192h 34min
Julia Galef and Rob Wiblin on an updated view of the best ways to help humanity
This is a cross-post of an interview Rob did with Julia Galef on her podcast Rationally Speaking. Rob and Julia discuss how the career advice 80,000 Hours gives has changed over the years, and the big...
17 Feb 201956min
#52 - Glen Weyl on uprooting capitalism and democracy for a just society
Pro-market economists love to wax rhapsodic about the capacity of markets to pull together the valuable local information spread across all of society about what people want and how to make it. But wh...
8 Feb 20192h 44min
#51 - Martin Gurri on the revolt of the public & crisis of authority in the information age
Politics in rich countries seems to be going nuts. What's the explanation? Rising inequality? The decline of manufacturing jobs? Excessive immigration? Martin Gurri spent decades as a CIA analyst and...
29 Jan 20192h 31min
#50 - David Denkenberger on how to feed all 8b people through an asteroid/nuclear winter
If an asteroid impact or nuclear winter blocked the sun for years, our inability to grow food would result in billions dying of starvation, right? According to Dr David Denkenberger, co-author of Feed...
27 Des 20182h 57min
#49 - Rachel Glennerster on a year's worth of education for 30c & other development 'best buys'
If I told you it's possible to deliver an extra year of ideal primary-level education for under $1, would you believe me? Hopefully not - the claim is absurd on its face. But it may be true nonetheles...
20 Des 20181h 35min
#48 - Brian Christian on better living through the wisdom of computer science
Please let us know if we've helped you: Fill out our annual impact survey Ever felt that you were so busy you spent all your time paralysed trying to figure out where to start, and couldn't get much ...
22 Nov 20183h 15min
#47 - Catherine Olsson & Daniel Ziegler on the fast path into high-impact ML engineering roles
After dropping out of a machine learning PhD at Stanford, Daniel Ziegler needed to decide what to do next. He’d always enjoyed building stuff and wanted to shape the development of AI, so he thought a...
2 Nov 20182h 4min
