Advice on how to read our advice (Article)

Advice on how to read our advice (Article)

This is the fourth release in our new series of audio articles. If you want to read the original article or check out the links within it, you can find them here.

"We’ve found that readers sometimes interpret or apply our advice in ways we didn’t anticipate and wouldn’t exactly recommend. That’s hard to avoid when you’re writing for a range of people with different personalities and initial views.

To help get on the same page, here’s some advice about our advice, for those about to launch into reading our site.

We want our writing to inform people’s views, but only in proportion to the likelihood that we’re actually right. So we need to make sure you have a balanced perspective on how compelling the evidence is for the different claims we make on the site, and how much weight to put on our advice in your situation.

This piece includes a list of points to bear in mind when reading our site, and some thoughts on how to avoid the communication problems we face..."

As the title suggests, this was written with our web site content in mind, but plenty of it applies to the careers sections of the podcast too — as well as our bonus episodes with members of the 80,000 Hours team, such as Arden and Rob’s episode on demandingness, work-life balance and injustice, which aired on February 25th of this year.

And if you have feedback on these, positive or negative, it’d be great if you could email us at podcast@80000hours.org.

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

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