Training Data cover image

Mapping the Mind of a Neural Net: Goodfire’s Eric Ho on the Future of Interpretability

Training Data

00:00

Understanding AI Interpretability and Its Impacts

This chapter investigates the intricacies of generative AI models, focusing on the necessity for transparency in high-stakes applications like investments. It emphasizes the parallels between AI interpretability and biological research, highlighting advancements in understanding neural networks and their complexities. Discussions also touch upon the societal implications of AI behavior modification and the potential for future breakthroughs in both AI and genetics.

Transcript
Play full episode

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app