#38 - Yew-Kwang Ng on anticipating effective altruism decades ago & how to make a much happier world

#38 - Yew-Kwang Ng on anticipating effective altruism decades ago & how to make a much happier world

Will people who think carefully about how to maximize welfare eventually converge on the same views?

The effective altruism community has spent a lot of time over the past 10 years debating how best to increase happiness and reduce suffering, and gradually narrowed in on the world’s poorest people, all animals capable of suffering, and future generations.

Yew-Kwang Ng, Professor of Economics at Nanyang Technological University in Singapore, was independently working on this exact question since the 70s. Many of his conclusions have ended up foreshadowing what is now conventional wisdom within effective altruism - though other views he holds remain controversial or little-known.

For instance, he thinks we ought to explore increasing pleasure via direct brain stimulation, and that genetic engineering may be an important tool for increasing happiness in the future.

His work has suggested that the welfare of most wild animals is on balance negative and he thinks that in the future this is a problem humanity might work to solve. Yet he thinks that greatly improved conditions for farm animals could eventually justify eating meat.

He has spent most of his life advocating for the view that happiness, broadly construed, is the only intrinsically valuable thing.

If it’s true that careful researchers will converge as Prof Ng believes, these ideas may prove as prescient as his other, now widely accepted, opinions.

Link to our summary and appreciation of Kwang’s top publications and insights throughout a lifetime of research.

Kwang has led an exceptional life. While in high school he was drawn to physics, mathematics, and philosophy, yet he chose to study economics because of his dream: to establish communism in an independent Malaya.

But events in the Soviet Union and China, in addition to his burgeoning knowledge and academic appreciation of economics, would change his views about the practicability of communism. He would soon complete his journey from young revolutionary to academic economist, and eventually become a columnist writing in support of Deng Xiaoping’s Chinese economic reforms in the 80s.

He got his PhD at Sydney University in 1971, and has since published over 250 refereed papers - covering economics, biology, politics, mathematics, philosophy, psychology, and sociology.

He's most well-known for his work in welfare economics, and proposed ‘welfare biology’ as a new field of study. In 2007, he was made a Distinguished Fellow of the Economic Society of Australia, the highest award that the society bestows.

Links to learn more, summary and full transcript.

In this episode we discuss how he developed some of his most unusual ideas and his fascinating life story, including:

* Why Kwang believes that *’Happiness Is Absolute, Universal, Ultimate, Unidimensional, Cardinally Measurable and Interpersonally Comparable’*
* What are the most pressing questions in economics?
* Did Kwang have to worry about censorship from the Chinese government when promoting market economics, or concern for animal welfare?
* Welfare economics and where Kwang thinks it went wrong

Get this episode by subscribing to our podcast on the world’s most pressing problems and how to solve them: search for '80,000 Hours' in your podcasting app.

The 80,000 Hours Podcast is produced by Keiran Harris.

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

Episoder(342)

How middle powers avoid losing everything in a post-AI world | Anton Leicht

How middle powers avoid losing everything in a post-AI world | Anton Leicht

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

#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

We can guess what intergalactic war would look like. And strangely, it matters.

We can guess what intergalactic war would look like. And strangely, it matters.

Intergalactic war is probably billions of years away — yet physics can already tell us how it ends. And strangely that conclusion is relevant to decisions people have to make today.In this video, Rob ...

18 Jun 15min

How AI could create the world’s biggest problems (article by Zershaaneh Qureshi)

How AI could create the world’s biggest problems (article by Zershaaneh Qureshi)

Imagine you’re living 15,000 years ago. Your people are hunter-gatherers and you sleep under the stars. If someone told you humans would one day build cities with millions of people, fly through the a...

11 Jun 1h 29min

#245 – Rohin Shah on what it's really like to run AGI safety at Google DeepMind (and where I disagree with 'doomers')

#245 – Rohin Shah on what it's really like to run AGI safety at Google DeepMind (and where I disagree with 'doomers')

Most people working on AI safety think without a massive effort AI systems will probably end up with goals catastrophically different from humanity’s. Today’s guest, Rohin Shah — head of AGI Safety an...

2 Jun 2h 48min

What makes for a dream job? | Benjamin Todd

What makes for a dream job? | Benjamin Todd

What actually makes a job fulfilling? It's not what most career advice tells you. "Follow your passion" sounds inspiring, but it's misleading — and the research backs that up.Drawing on hundreds of st...

28 Mai 28min

#244 – Benjamin Todd on how we’re updating our career advice for the strangest time in history

#244 – Benjamin Todd on how we’re updating our career advice for the strangest time in history

The average career is 80,000 hours long. With AI advancing so rapidly, the hours you have left in your career matter more than ever.Some leading AI researchers think there’s a 10% chance that AI syste...

26 Mai 1h 6min

Can AIs already start 'rogue deployments' inside AI companies? (Landmark new METR report)

Can AIs already start 'rogue deployments' inside AI companies? (Landmark new METR report)

A red-teamer was embedded inside Anthropic for three weeks, told to imagine he was an evil Claude, and asked to figure out how to launch a ‘rogue AI deployment’ without getting caught. It’s one part o...

20 Mai 20min

Populært innen Fakta

fastlegen
dine-penger-pengeradet
relasjonspodden-med-dora-thorhallsdottir-kjersti-idem
rss-kunsten-a-leve
foreldreradet
treningspodden
mikkels-paskenotter
sinnsyn
rss-sarbar-med-lotte-erik
rss-strid-de-norske-borgerkrigene
tomprat-med-gunnar-tjomlid
jakt-og-fiskepodden
gravid-uke-for-uke
rss-var-forste-kaffe
fryktlos
hverdagspsyken
uroskolen
rss-impressions-2
rss-mind-body-podden
hagespiren-podcast