80,000 Hours Podcast11 Okt 2017

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

What if you were in a position to give away billions of dollars to improve the world? What would you do with it? This is the problem facing Program Officers at the Open Philanthropy Project - people like Dr Nick Beckstead.

Following a PhD in philosophy, Nick works to figure out where money can do the most good. He’s been involved in major grants in a wide range of areas, including ending factory farming through technological innovation, safeguarding the world from advances in biotechnology and artificial intelligence, and spreading rational compassion.

Full transcript, coaching application form, overview of the conversation, and links to resources discussed in the episode:

This episode is a tour through some of the toughest questions ‘effective altruists’ face when figuring out how to best improve the world, including:

* * Should we mostly try to help people currently alive, or future generations? Nick studied this question for years in his PhD thesis, On the Overwhelming Importance of Shaping the Far Future. (The first 31 minutes is a snappier version of my conversation with Toby Ord.)
* Is clean meat (aka *in vitro* meat) technologically feasible any time soon, or should we be looking for plant-based alternatives?
* What are the greatest risks to human civilisation?
* To stop malaria is it more cost-effective to use technology to eliminate mosquitos than to distribute bed nets?
* Should people who want to improve the future work for changes that will be very useful in a specific scenario, or just generally try to improve how well humanity makes decisions?
* What specific jobs should our listeners take in order for Nick to be able to spend more money in useful ways to improve the world?
* Should we expect the future to be better if the economy grows more quickly - or more slowly?

Get free, one-on-one career advice

We’ve helped dozens of people compare between their options, get introductions, and jobs important for the the long-run future. If you want to work on any of the problems discussed in this episode, find out if our coaching can help you.

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(348)

Owain Evans on accidentally training AI models to be evil

Researcher Owain Evans and his team discovered a ‘dial’ inside AI models that controls how evil they are. Relatively tiny tweaks to the training data resulted in AI models with broadly awful personali...

20 Aug 2h 15min

#251 – The UK's former head AI safety scientist on how to solve alignment before superintelligence arrives | Geoffrey Irving

When should governments slow the race toward superintelligence? According to Geoffrey Irving, the careful answer is sometime in the past. The useful answer is now.Geoffrey — formerly a safety research...

11 Aug 2h 2min

#250 – Toby Ord on where AGI timelines go wrong

Both Silicon Valley and the public can’t get enough of ‘AGI timelines.’ But Toby Ord, senior researcher at Oxford’s AI Governance Initiative and author of The Precipice, believes we consistently make ...

6 Aug 2h 46min

What the hell happened with AGI timelines in 2026? – Rob Wiblin

Last October, famed coder Andrej Karpathy called AI agents “slop.” Two months later he completely reversed his view, describing them as “alien tools” that are “rocking the profession.”He was far from ...

4 Aug 49min

#249 – Spencer Greenberg on staying sane while trying to save the world

If you genuinely believe that humanity could be wiped out by AI or a pandemic, what is the appropriate amount of fear to feel?“As much as possible” can seem like the only reasonable answer. If the wor...

28 Jul 2h 9min

#248 – Jasmine Sun on what the people building AI really believe

Many AI researchers believe mass job displacement is coming — and some even think there’s a chance their technology will kill everyone. But they’re building it anyway. Writer and journalist Jasmine Su...

21 Jul 1h 6min

#247 – Anton Leicht on how middle powers avoid losing everything in a post-AI world

In a post-AGI world, can a country without access to frontier AI even be considered sovereign anymore?Anton Leicht says once frontier AI becomes a core economic input, the countries that own it will p...

14 Jul 1h 33min

#246 – Sneha Revanur on how a small team of activists helped pass America's landmark AI safety laws

Six years ago, aged just 15, Sneha Revanur founded the AI advocacy nonprofit Encode AI — back when AI felt like a niche issue. Now the world’s caught up with her, and she’s ready to share everything s...

8 Jul 52min