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.
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A short introduction to what you'll get out of these episodes!By 80000 Hours
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One: Brian Christian on the alignment problem
2:55:46
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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. Listeners loved our episode about his book Algorithms to Live By — so when the team read his new book, The Alignment Problem, and found it to be an i…
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Two: Ajeya Cotra on accidentally teaching AI models to deceive us
2:49:40
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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 w…
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Three: Paul Christiano on finding real solutions to the AI alignment problem
3:51:51
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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 thr…
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Four: Rohin Shah on DeepMind and trying to fairly hear out both AI doomers and doubters
3:09:42
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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 — machin…
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Five: Chris Olah on what the hell is going on inside neural networks
3:09:21
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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. After dropping out of university to help defend an acquaintance wh…
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Six: Richard Ngo on large language models, OpenAI, and striving to make the future go well
2:44:19
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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 sa…
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Seven: Ben Garfinkel on scrutinising classic AI risk arguments
2:38:28
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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 lot…
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Eight: Tom Davidson on how quickly AI could transform the world
3:01:59
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Originally released in May 2023. It’s easy to dismiss alarming AI-related predictions when you don’t know where the numbers came from. For example: what if we told you that within 15 years, it’s likely that we’ll see a 1,000x improvement in AI capabilities in a single year? And what if we then told you that those improvements would lead to explosiv…
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Nine: Helen Toner on emerging technology, national security, and China
1:54:57
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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 i…
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Ten: Nova DasSarma on why information security may be critical to the safe development of AI systems
2:42:27
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Originally released in June 2022. If a business has spent $100 million developing a product, it's a fair bet that they don't want it stolen in two seconds and uploaded to the web where anyone can use it for free. This problem exists in extreme form for AI companies. These days, the electricity and equipment required to train cutting-edge machine le…
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Eleven: Catherine Olsson & Daniel Ziegler on the fast path into high-impact ML engineering roles
2:04:50
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Originally released in November 2018. After dropping out of a machine learning PhD at Stanford, Daniel Ziegler needed to decide what to do next. He’d always enjoyed building stuff and wanted to shape the development of AI, so he thought a research engineering position at an org dedicated to aligning AI with human interests could be his best option.…
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Bonus: Preventing an AI-related catastrophe (Article)
2:24:18
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Originally released in August 2022. Today’s release is a professional reading of our new problem profile on preventing an AI-related catastrophe, written by Benjamin Hilton. We expect that there will be substantial progress in AI in the next few decades, potentially even to the point where machines come to outperform humans in many, if not all, tas…
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Bonus: China-related AI safety and governance paths (Article)
47:42
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Article originally published February 2022. In this episode of 80k After Hours, Perrin Walker reads our career review of China-related AI safety and governance paths. Here’s the original piece if you’d like to learn more. You might also want to check out Benjamin Todd and Brian Tse's article on Improving China-Western coordination on global catastr…
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