Progress in mechanistic interpretability could lead to major advances in making large AI models safe and bias-free. The Anthropic researchers, in other words, wanted to learn about the higher-order ...

This talk will attempt to demystify, for a non-technical audience, the current state of neural network explainability and interpretability, as well as trace the boundaries of what is in principle ...

The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...

Rob Futrick, Anaconda CTO, drives AI & data science innovation. 25+ years in tech, ex-Microsoft, passionate mentor for STEM diversity. As artificial intelligence (AI) models grow in complexity, ...

Ask a chatbot if it’s conscious, and it will likely say no—unless it’s Anthropic’s Claude 4. “I find myself genuinely uncertain about this,” it replied in a recent conversation. “When I process ...

Large language models (LLMs) have become crucial tools in the pursuit of artificial general intelligence (AGI).