This chapter examines the intricacies of weak and strong AGI timelines, emphasizing the criteria for AI performance in relation to the Turing test. The conversation navigates the challenges of formulating relevant questions about AGI and the future forecasting process, highlighting the need for nuanced approaches. Additionally, it discusses the role of AI in enhancing forecasting accuracy and the importance of community engagement in generating insightful questions.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode