Roman Yampolskiy on Shoggoth, Scaling Laws, and Evidence for AI being Uncontrollable
Listen now
Description
Roman Yampolskiy joins the podcast again to discuss whether AI is like a Shoggoth, whether scaling laws will hold for more agent-like AIs, evidence that AI is uncontrollable, and whether designing human-like AI would be safer than the current development path. You can read more about Roman's work at http://cecs.louisville.edu/ry/ Timestamps: 00:00 Is AI like a Shoggoth? 09:50 Scaling laws 16:41 Are humans more general than AIs? 21:54 Are AI models explainable? 27:49 Using AI to explain AI 32:36 Evidence for AI being uncontrollable 40:29 AI verifiability 46:08 Will AI be aligned by default? 54:29 Creating human-like AI 1:03:41 Robotics and safety 1:09:01 Obstacles to AI in the economy 1:18:00 AI innovation with current models 1:23:55 AI accidents in the past and future
More Episodes
Connor Leahy joins the podcast to discuss the motivations of AGI corporations, how modern AI is "grown", the need for a science of intelligence, the effects of AI on work, the radical implications of superintelligence, open-source AI, and what you might be able to do about all of this.    Here's...
Published 11/22/24
Suzy Shepherd joins the podcast to discuss her new short film "Writing Doom", which deals with AI risk. We discuss how to use humor in film, how to write concisely, how filmmaking is evolving, in what ways AI is useful for filmmakers, and how we will find meaning in an increasingly automated...
Published 11/08/24