#7 - Julia Galef on making humanity more rational, what EA does wrong, and why Twitter isn’t all bad

#7 - Julia Galef on making humanity more rational, what EA does wrong, and why Twitter isn’t all bad

The scientific revolution in the 16th century was one of the biggest societal shifts in human history, driven by the discovery of new and better methods of figuring out who was right and who was wrong.

Julia Galef - a well-known writer and researcher focused on improving human judgment, especially about high stakes questions - believes that if we could again develop new techniques to predict the future, resolve disagreements and make sound decisions together, it could dramatically improve the world across the board. We brought her in to talk about her ideas.

This interview complements a new detailed review of whether and how to follow Julia’s career path. Apply for personalised coaching, see what questions are asked when, and read extra resources to learn more.

Julia has been host of the Rationally Speaking podcast since 2010, co-founder of the Center for Applied Rationality in 2012, and is currently working for the Open Philanthropy Project on an investigation of expert disagreements.

In our conversation we ended up speaking about a wide range of topics, including:

* Her research on how people can have productive intellectual disagreements.
* Why she once planned to become an urban designer.
* Why she doubts people are more rational than 200 years ago.
* What makes her a fan of Twitter (while I think it’s dystopian).
* Whether people should write more books.
* Whether it’s a good idea to run a podcast, and how she grew her audience.
* Why saying you don’t believe X often won’t convince people you don’t.
* Why she started a PhD in economics but then stopped.
* Whether she would recommend an unconventional career like her own.
* Whether the incentives in the intelligence community actually support sound thinking.
* Whether big institutions will actually pick up new tools for improving decision-making if they are developed.
* How to start out pursuing a career in which you enhance human judgement and foresight.

Get free, one-on-one career advice to help you improve judgement and decision-making

We’ve helped dozens of people compare between their options, get introductions, and jobs important for the the long-run future. **If you want to work on any of the problems discussed in this episode, find out if our coaching can help you:**

APPLY FOR COACHING

Overview of the conversation

**1m30s** So what projects are you working on at the moment?
**3m50s** How are you working on the problem of expert disagreement?
**6m0s** Is this the same method as the double crux process that was developed at the Center for Applied Rationality?
**10m** Why did the Open Philanthropy Project decide this was a very valuable project to fund?
**13m** Is the double crux process actually that effective?
**14m50s** Is Facebook dangerous?
**17m** What makes for a good life? Can you be mistaken about having a good life?
**19m** Should more people write books?
Read more...

Jaksot(321)

#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

#218 – Hugh White on why Trump is abandoning US hegemony – and that’s probably good

#218 – Hugh White on why Trump is abandoning US hegemony – and that’s probably good

For decades, US allies have slept soundly under the protection of America’s overwhelming military might. Donald Trump — with his threats to ditch NATO, seize Greenland, and abandon Taiwan — seems hell...

12 Kesä 20252h 48min

#217 – Beth Barnes on the most important graph in AI right now — and the 7-month rule that governs its progress

#217 – Beth Barnes on the most important graph in AI right now — and the 7-month rule that governs its progress

AI models today have a 50% chance of successfully completing a task that would take an expert human one hour. Seven months ago, that number was roughly 30 minutes — and seven months before that, 15 mi...

2 Kesä 20253h 47min

Suosittua kategoriassa Koulutus

rss-murhan-anatomia
psykopodiaa-podcast
voi-hyvin-meditaatiot-2
rss-narsisti
rss-liian-kuuma-peruna
rss-vapaudu-voimaasi
dear-ladies
psykologia
leveli
rss-duodecim-lehti
rss-valo-minussa-2
kesken
ihminen-tavattavissa-tommy-hellsten-instituutti
rss-uskonto-on-tylsaa
rss-hereilla
adhd-podi
rss-tietoinen-yhteys-podcast-2
rss-ai-mita-siskopodcast
rss-luonnollinen-synnytys-podcast
rss-arkea-ja-aurinkoa-podcast-espanjasta