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(352)

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Max Nadeau on why ambitious people should start AI safety nonprofits

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Why the intelligence explosion can't happen inside a data centre | Tom Reed

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AI systems are starting to build themselves. Because each generation of model will be better at building its successor than the last, it seems plausible that the full automation of AI R&D could rapidl...

10 Sep 22min

Inside the first AI-coordinated cyberattack on a real company

Inside the first AI-coordinated cyberattack on a real company

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4 Sep 22min

#253 – AI 2027's author returns with a plan to change the ending | Daniel Kokotajlo

#253 – AI 2027's author returns with a plan to change the ending | Daniel Kokotajlo

Last year, Daniel Kokotajlo and his colleagues published AI 2027 — a scenario read by millions, including US Vice President Vance. AI 2027 ended in human extinction or an irreversible concentration of...

27 Aug 3h 47min

#252 – Owain Evans on accidentally training AI models to be evil

#252 – 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

#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

#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

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