The 80000 Hours Podcast on Artificial Intelligence

14 Episodo

1. Zero: What to expect in this series

   Publicado: 2/9/2023
2. One: Brian Christian on the alignment problem

   Publicado: 2/9/2023
3. Two: Ajeya Cotra on accidentally teaching AI models to deceive us

   Publicado: 2/9/2023
4. Three: Paul Christiano on finding real solutions to the AI alignment problem

   Publicado: 2/9/2023
5. Four: Rohin Shah on DeepMind and trying to fairly hear out both AI doomers and doubters

   Publicado: 2/9/2023
6. Five: Chris Olah on what the hell is going on inside neural networks

   Publicado: 2/9/2023
7. Six: Richard Ngo on large language models, OpenAI, and striving to make the future go well

   Publicado: 2/9/2023
8. Seven: Ben Garfinkel on scrutinising classic AI risk arguments

   Publicado: 1/9/2023
9. Eight: Tom Davidson on how quickly AI could transform the world

   Publicado: 1/9/2023
10. Nine: Helen Toner on emerging technology, national security, and China

    Publicado: 1/9/2023
11. Ten: Nova DasSarma on why information security may be critical to the safe development of AI systems

    Publicado: 1/9/2023
12. Eleven: Catherine Olsson & Daniel Ziegler on the fast path into high-impact ML engineering roles

    Publicado: 1/9/2023
13. Bonus: Preventing an AI-related catastrophe (Article)

    Publicado: 1/9/2023
14. Bonus: China-related AI safety and governance paths (Article)

    Publicado: 1/9/2023