Connor Leahy from Conjecture joins the podcast to discuss AI progress, chimps, memes, and markets. Learn more about Connor's work at https://conjecture.dev Timestamps: 00:00 Introduction 01:00 Defining artificial general intelligence 04:52 What makes humans more powerful than chimps? 17:23 Would AIs have to be social to be intelligent? 20:29 Importing humanity's memes into AIs 23:07 How do we measure progress in AI? 42:39 Gut feelings about AI progress 47:29 Connor's predictions about AGI 52:44 Is predicting AGI soon betting against the market? 57:43 How accurate are prediction markets about AGI?
Peter Wildeford discusses methods for forecasting AI progress and why he sees AI as neither a bubble nor a normal technology, covering economic effects, national security, cyber capabilities, robotics, export controls, and prediction markets.
Inria researcher Carina Prunkl discusses why AI evaluation struggles to keep pace with general-purpose systems, including jagged capabilities, missed real-world behavior, misuse risks, de-skilling, red teaming, and layered safeguards.
Li-Lian Ang from Blue Dot Impact discusses how to build a workforce to defend against AI-driven risks, including engineered pandemics, cyber attacks, job disempowerment, and concentrated power, using a defense-in-depth framework for uncertain AI progress.
