Zero: What to expect in this series

One: Brian Christian on the alignment problem

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

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

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

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

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

Seven: Ben Garfinkel on scrutinising classic AI risk arguments

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

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

Ten: Nova DasSarma on why information security may be critical to the safe development of AI systems

Eleven: Catherine Olsson & Daniel Ziegler on the fast path into high-impact ML engineering roles

Bonus: Preventing an AI-related catastrophe (Article)

Bonus: China-related AI safety and governance paths (Article)