The 80000 Hours Podcast on Artificial Intelligence

A compilation of ten key episodes on artificial intelligence and related topics from 80,000 Hours. Together they'll help you learn about how AI looks from a broadly longtermist, existential risk, or effective altruism flavoured point of view.

https://80k.link/V4A

Eine durchschnittliche Folge dieses Podcasts dauert 2h43m. Bisher sind 14 Folge(n) erschienen. .

Gesamtlänge aller Episoden: 1 day 10 hours 17 minutes

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Zero: What to expect in this series


A short introduction to what you'll get out of these episodes!


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 September 2, 2023  2m
 
 

episode 1: One: Brian Christian on the alignment problem


Originally released in March 2021.

Brian Christian is a bestselling author with a particular knack for accurately communicating difficult or technical ideas from both mathematics and computer science...


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 September 2, 2023  2h55m
 
 

episode 2: Two: Ajeya Cotra on accidentally teaching AI models to deceive us


Originally released in May 2023.

Imagine you are an orphaned eight-year-old whose parents left you a $1 trillion company, and no trusted adult to serve as your guide to the world. You have to hire a smart adult to run that company, guide your life the way that a parent would, and administer your vast wealth. You have to hire that adult based on a work trial or interview you come up with. You don't get to see any resumes or do reference checks...


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 September 2, 2023  2h49m
 
 

episode 3: Three: Paul Christiano on finding real solutions to the AI alignment problem


Originally released in October 2018.

Paul Christiano is one of the smartest people I know. After our first session produced such great material, we decided to do a second recording, resulting in our longest interview so far. While challenging at times I can strongly recommend listening - Paul works on AI himself and has a very unusually thought through view of how it will change the world...


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 September 2, 2023  3h51m
 
 

episode 4: Four: Rohin Shah on DeepMind and trying to fairly hear out both AI doomers and doubters


Can there be a more exciting and strange place to work today than a leading AI lab? Your CEO has said they're worried your research could cause human extinction. The government is setting up meetings to discuss how this outcome can be avoided. Some of your colleagues think this is all overblown; others are more anxious still.

Today's guest — machine learning researcher Rohin Shah — goes into the Google DeepMind offices each day with that peculiar backdrop to his work...


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 September 2, 2023  3h9m
 
 

episode 4: Five: Chris Olah on what the hell is going on inside neural networks


Originally released in August 2021.

Chris Olah has had a fascinating and unconventional career path.

Most people who want to pursue a research career feel they need a degree to get taken seriously. But Chris not only doesn't have a PhD, but doesn’t even have an undergraduate degree...


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 September 2, 2023  3h9m
 
 

episode 5: Six: Richard Ngo on large language models, OpenAI, and striving to make the future go well


Originally released in December 2022.

Large language models like GPT-3, and now ChatGPT, are neural networks trained on a large fraction of all text available on the internet to do one thing: predict the next word in a passage. This simple technique has led to something extraordinary — black boxes able to write TV scripts, explain jokes, produce satirical poetry, answer common factual questions, argue sensibly for political positions, and more...


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 September 2, 2023  2h44m
 
 

episode 6: Seven: Ben Garfinkel on scrutinising classic AI risk arguments


Originally released in July 2020.

80,000 Hours, along with many other members of the effective altruism movement, has argued that helping to positively shape the development of artificial intelligence may be one of the best ways to have a lasting, positive impact on the long-term future. Millions of dollars in philanthropic spending, as well as lots of career changes, have been motivated by these arguments...


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 September 2, 2023  2h38m
 
 

episode 7: Eight: Tom Davidson on how quickly AI could transform the world


Originally released in May 2023.

It’s easy to dismiss alarming AI-related predictions when you don’t know where the numbers came from...


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 September 2, 2023  3h1m
 
 

episode 8: Nine: Helen Toner on emerging technology, national security, and China


Originally released in July 2019.

From 1870 to 1950, the introduction of electricity transformed life in the US and UK, as people gained access to lighting, radio and a wide range of household appliances for the first time. Electricity turned out to be a general purpose technology that could help with almost everything people did.

Some think this is the best historical analogy we have for how machine learning could alter life in the 21st century...


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 September 1, 2023  1h54m
 
 
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