Could an earthquake become an existential or catastrophic risk that puts all of humanity at risk? Seth Baum of the Global Catastrophic Risk Institute and Ariel Conn of the Future of Life Institute consider extreme earthquake scenarios to figure out if such a risk is plausible. Featuring seismologist Martin Chapman of Virginia Tech. (Edit: This was just for fun, in a similar vein to MythBusters. We wanted to see just how far we could go.)
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.