What anonymous contributors think about important life and career questions (Article)

What anonymous contributors think about important life and career questions (Article)

Today we’re launching the final entry of our ‘anonymous answers' series on the website.

It features answers to 23 different questions including “How have you seen talented people fail in their work?” and “What’s one way to be successful you don’t think people talk about enough?”, from anonymous people whose work we admire.

We thought a lot of the responses were really interesting; some were provocative, others just surprising. And as intended, they span a very wide range of opinions.

So we decided to share some highlights here with you podcast subscribers. This is only a sample though, including a few answers from just 10 of those 23 questions.

You can find the rest of the answers at 80000hours.org/anonymous or follow a link here to an individual entry:

1. What's good career advice you wouldn’t want to have your name on?
2. How have you seen talented people fail in their work?
3. What’s the thing people most overrate in their career?
4. If you were at the start of your career again, what would you do differently this time?
5. If you're a talented young person how risk averse should you be?
6. Among people trying to improve the world, what are the bad habits you see most often?
7. What mistakes do people most often make when deciding what work to do?
8. What's one way to be successful you don't think people talk about enough?
9. How honest & candid should high-profile people really be?
10. What’s some underrated general life advice?
11. Should the effective altruism community grow faster or slower? And should it be broader, or narrower?
12. What are the biggest flaws of 80,000 Hours?
13. What are the biggest flaws of the effective altruism community?
14. How should the effective altruism community think about diversity?
15. Are there any myths that you feel obligated to support publicly? And five other questions.

Finally, if you’d like us to produce more or less content like this, please let us know your opinion podcast@80000hours.org.

Jaksot(324)

#224 – There's a cheap and low-tech way to save humanity from any engineered disease | Andrew Snyder-Beattie

#224 – There's a cheap and low-tech way to save humanity from any engineered disease | Andrew Snyder-Beattie

Conventional wisdom is that safeguarding humanity from the worst biological risks — microbes optimised to kill as many as possible — is difficult bordering on impossible, making bioweapons humanity’s ...

2 Loka 20252h 31min

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

Suosittua kategoriassa Koulutus

rss-murhan-anatomia
voi-hyvin-meditaatiot-2
rss-narsisti
psykopodiaa-podcast
adhd-podi
rss-vapaudu-voimaasi
rss-niinku-asia-on
psykologia
rss-duodecim-lehti
rss-valo-minussa-2
aamukahvilla
rss-uskonto-on-tylsaa
kesken
koulu-podcast-2
rss-liian-kuuma-peruna
rahapuhetta
jari-sarasvuo-podcast
filocast-filosofian-perusteet
rss-turun-yliopisto
rss-opi-espanjaa