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.

Jaksot(323)

Inside the Biden admin’s AI policy approach | Jake Sullivan, Biden’s NSA | via The Cognitive Revolution

Inside the Biden admin’s AI policy approach | Jake Sullivan, Biden’s NSA | via The Cognitive Revolution

Jake Sullivan was the US National Security Advisor from 2021-2025. He joined our friends on The Cognitive Revolution podcast in August to discuss AI as a critical national security issue. We thought i...

26 Syys 20251h 5min

#223 – Neel Nanda on leading a Google DeepMind team at 26 – and advice if you want to work at an AI company (part 2)

#223 – Neel Nanda on leading a Google DeepMind team at 26 – and advice if you want to work at an AI company (part 2)

At 26, Neel Nanda leads an AI safety team at Google DeepMind, has published dozens of influential papers, and mentored 50 junior researchers — seven of whom now work at major AI companies. His secret?...

15 Syys 20251h 46min

#222 – Can we tell if an AI is loyal by reading its mind? DeepMind's Neel Nanda (part 1)

#222 – Can we tell if an AI is loyal by reading its mind? DeepMind's Neel Nanda (part 1)

We don’t know how AIs think or why they do what they do. Or at least, we don’t know much. That fact is only becoming more troubling as AIs grow more capable and appear on track to wield enormous cultu...

8 Syys 20253h 1min

#221 – Kyle Fish on the most bizarre findings from 5 AI welfare experiments

#221 – Kyle Fish on the most bizarre findings from 5 AI welfare experiments

What happens when you lock two AI systems in a room together and tell them they can discuss anything they want?According to experiments run by Kyle Fish — Anthropic’s first AI welfare researcher — som...

28 Elo 20252h 28min

How not to lose your job to AI (article by Benjamin Todd)

How not to lose your job to AI (article by Benjamin Todd)

About half of people are worried they’ll lose their job to AI. They’re right to be concerned: AI can now complete real-world coding tasks on GitHub, generate photorealistic video, drive a taxi more sa...

31 Heinä 202551min

Rebuilding after apocalypse: What 13 experts say about bouncing back

Rebuilding after apocalypse: What 13 experts say about bouncing back

What happens when civilisation faces its greatest tests?This compilation brings together insights from researchers, defence experts, philosophers, and policymakers on humanity’s ability to survive and...

15 Heinä 20254h 26min

#220 – Ryan Greenblatt on the 4 most likely ways for AI to take over, and the case for and against AGI in <8 years

#220 – Ryan Greenblatt on the 4 most likely ways for AI to take over, and the case for and against AGI in <8 years

Ryan Greenblatt — lead author on the explosive paper “Alignment faking in large language models” and chief scientist at Redwood Research — thinks there’s a 25% chance that within four years, AI will b...

8 Heinä 20252h 50min

#219 – Toby Ord on graphs AI companies would prefer you didn't (fully) understand

#219 – Toby Ord on graphs AI companies would prefer you didn't (fully) understand

The era of making AI smarter just by making it bigger is ending. But that doesn’t mean progress is slowing down — far from it. AI models continue to get much more powerful, just using very different m...

24 Kesä 20252h 48min

Suosittua kategoriassa Koulutus

rss-murhan-anatomia
voi-hyvin-meditaatiot-2
rss-narsisti
psykopodiaa-podcast
rss-uskonto-on-tylsaa
rss-vapaudu-voimaasi
psykologia
kesken
rss-liian-kuuma-peruna
rahapuhetta
adhd-podi
rss-taloustaito-podcast
rss-niinku-asia-on
jari-sarasvuo-podcast
ihminen-tavattavissa-tommy-hellsten-instituutti
rss-the-amicast
rss-xamk-podcast
rss-arkea-ja-aurinkoa-podcast-espanjasta
rss-opi-espanjaa
rss-tyohyvinvoinnin-aakkoset