Understanding the inner thoughts of AI
Exploring interpretability research in AI systems
Google DeepMind published a video episode where Professor Hannah Fry and researcher Neel Nanda discuss interpretability research, including mechanistic interpretability, chain-of-thought monitoring, and techniques for auditing AI models for safety.
The episode highlights the challenge of understanding AI systems that lack a manual and emphasizes the importance of interpretability for building safe and trustworthy AI.
